Optical Identification of the Shortest-Period Spider Pulsar System M71E

Kavli Affiliate: Subo Dong | First 5 Authors: Zhuokai Liu, Subo Dong, , , | Summary: M71E is a spider pulsar (i.e., a millisecond pulsar with a tight binary companion) with the shortest known orbital period of P=53.3 min discovered by Pan et al. (2023). Their favored evolutionary model suggests that it bridges between two […]


Continue.. Optical Identification of the Shortest-Period Spider Pulsar System M71E

Optical Identification of the Shortest-Period Spider Pulsar System M71E

Kavli Affiliate: Subo Dong | First 5 Authors: Zhuokai Liu, Subo Dong, , , | Summary: M71E is a spider pulsar (i.e., a millisecond pulsar with a tight binary companion) with the shortest known orbital period of P=53.3 min discovered by Pan et al. (2023). Their favored evolutionary model suggests that it bridges between two […]


Continue.. Optical Identification of the Shortest-Period Spider Pulsar System M71E

Discovering two-dimensional magnetic topological insulators by machine learning

Kavli Affiliate: Jing Wang | First 5 Authors: Haosheng Xu, Yadong Jiang, Huan Wang, Jing Wang, | Summary: Topological materials with unconventional electronic properties have been investigated intensively for both fundamental and practical interests. Thousands of topological materials have been identified by symmetry-based analysis and ab initio calculations. However, the predicted magnetic topological insulators with […]


Continue.. Discovering two-dimensional magnetic topological insulators by machine learning

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable diversity when trained on large amounts of data. Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are […]


Continue.. DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Axion Insulator State in Hundred-Nanometer-Thick Magnetic Topological Insulator Sandwich Heterostructures

Kavli Affiliate: Ke Wang | First 5 Authors: Deyi Zhuo, Zi-Jie Yan, Zi-Ting Sun, Ling-Jie Zhou, Yi-Fan Zhao | Summary: An axion insulator is a three-dimensional (3D) topological insulator (TI), in which the bulk maintains the time-reversal symmetry or inversion symmetry but the surface states are gapped by surface magnetization. The axion insulator state has […]


Continue.. Axion Insulator State in Hundred-Nanometer-Thick Magnetic Topological Insulator Sandwich Heterostructures

A characterization of ASAS-SN core-collapse supernova environments with VLT+MUSE: I. Sample selection, analysis of local environments, and correlations with light curve properties

Kavli Affiliate: Subo Dong | First 5 Authors: Thallis Pessi, Jose L. Prieto, Joseph P. Anderson, LluĂ­s Galbany, Joseph D. Lyman | Summary: The analysis of core-collapse supernova (CCSN) environments can provide important information on the life cycle of massive stars and constrain the progenitor properties of these powerful explosions. The MUSE instrument at the […]


Continue.. A characterization of ASAS-SN core-collapse supernova environments with VLT+MUSE: I. Sample selection, analysis of local environments, and correlations with light curve properties

Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Yunfeng Chen, Qingjuan Yu, Youjun Lu, , | Summary: Pulsar timing arrays (PTAs) are anticipated to detect the stochastic gravitational wave background (GWB) from supermassive binary black holes (BBHs) as well as the gravitational waves from individual BBHs. Recently, a common process signal was reported by several […]


Continue.. Pulsar timing array detections of supermassive binary black holes: implications from the detected common process signal and beyond